Mert
de13aab713
* use recent mimalloc * jit caching * bump onnxruntime-gpu * explicit memory release * refactor in-memory cache * configure hf org and revision * refactor model load * move orjson response * disable direct submission for i915 * flush denormals * update tests and lock * disable suboptimal fusions * respect resize_mode * increase threads for clip text
43 lines
1.8 KiB
Python
43 lines
1.8 KiB
Python
from immich_ml.models.base import InferenceModel
|
|
from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
|
|
from immich_ml.models.clip.visual import OpenClipVisualEncoder
|
|
from immich_ml.models.ocr.detection import TextDetector
|
|
from immich_ml.models.ocr.recognition import TextRecognizer
|
|
from immich_ml.schemas import ModelSource, ModelTask, ModelType
|
|
|
|
from .constants import get_model_source
|
|
from .facial_recognition.detection import FaceDetector
|
|
from .facial_recognition.recognition import FaceRecognizer
|
|
|
|
|
|
def get_model_class(model_name: str, model_type: ModelType, model_task: ModelTask) -> type[InferenceModel]:
|
|
source = get_model_source(model_name)
|
|
match source, model_type, model_task:
|
|
case ModelSource.OPENCLIP | ModelSource.MCLIP, ModelType.VISUAL, ModelTask.SEARCH:
|
|
return OpenClipVisualEncoder
|
|
|
|
case ModelSource.OPENCLIP, ModelType.TEXTUAL, ModelTask.SEARCH:
|
|
return OpenClipTextualEncoder
|
|
|
|
case ModelSource.MCLIP, ModelType.TEXTUAL, ModelTask.SEARCH:
|
|
return MClipTextualEncoder
|
|
|
|
case ModelSource.INSIGHTFACE, ModelType.DETECTION, ModelTask.FACIAL_RECOGNITION:
|
|
return FaceDetector
|
|
|
|
case ModelSource.INSIGHTFACE, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION:
|
|
return FaceRecognizer
|
|
|
|
case ModelSource.PADDLE, ModelType.DETECTION, ModelTask.OCR:
|
|
return TextDetector
|
|
|
|
case ModelSource.PADDLE, ModelType.RECOGNITION, ModelTask.OCR:
|
|
return TextRecognizer
|
|
|
|
case _:
|
|
raise ValueError(f"Unknown model combination: {source}, {model_type}, {model_task}")
|
|
|
|
|
|
def get_model_deps(model_name: str, model_type: ModelType, model_task: ModelTask) -> list[tuple[ModelType, ModelTask]]:
|
|
return get_model_class(model_name, model_type, model_task).depends
|